RESUMO
BACKGROUND: Diabetic retinopathy is the most common cause of blindness in working-age adults. Characteristics of patients with diabetes presenting to a retina subspecialty clinic have not been adequately studied, limiting our ability to risk stratify patients with diabetic retinopathy. Our goal is to describe an innovative program that collects structured, longitudinal data on patients with diabetes in a retina clinic, and identifies population characteristics to define patient risk stratification. METHODS: Demographics, body-mass index, blood pressure, hemoglobin A1c, smoking history, diabetes type, diabetes duration, kidney disease history, and diagnosis codes were collected on all patients with diabetes at the Kellogg Eye Center retina clinic. A mixed effects negative binomial regression was then performed to assess visit frequency as a function of these variables. Visit frequency was used as a marker for cost of care. A subgroup of patients was surveyed about knowledge of diabetes management goals and barriers to better self-management. RESULTS: There were 2916 patients in the cohort with 1014 in the subgroup. The cohort was predominantly Caucasian (74.5%), with a mean age of 64 years (range 13-99) and a relatively even distribution of sex (53.2% men). The mean maximum hemoglobin A1c was 8.0% (range 4.3-15.7%), and 57.1% had a diagnosis of diabetic retinopathy. Patients averaged 3.9 visits (range 1-27) during the 18-month study period. Blood pressure and duration of diabetes were positively associated with visit frequency (p < 0.0001, p < 0.0001, respectively). Of the surveyed patients, 87.6% knew their goal hemoglobin A1c, while only 45.9% identified the correct blood pressure goal. The most common reported barrier to better self-management was "it's just not working" (47.1%). CONCLUSIONS: Implementation of this program enables the creation of a longitudinal dataset on patients with diabetes. Resulting data can be used to improve quality of care provided to patients at a retina clinic. The findings suggest considerable healthcare resources are being directed to a small patient population. This enhanced understanding of characteristics of patients with diabetes will improve efforts to preserve vision and utilize health system resources efficiently.
RESUMO
PURPOSE: Intravitreal anti-vascular endothelial growth factor (VEGF) injections are used commonly in the treatment of diabetic retinopathy (DR), but the need for treatment and frequency of administration vary considerably among patients. There is no way to predict which patients will require treatment and how frequently injections will be needed. This study aimed to identify factors associated with receiving anti-VEGF injections and the number of treatments received in an 18-month period in patients with diabetes. DESIGN: Retrospective cohort study. PARTICIPANTS: Two thousand nine hundred sixteen patients with diabetes treated at the Kellogg Eye Center Retina Clinic from June 1, 2016, through December 31, 2017. METHODS: Retrospective analysis was performed with institutional review board approval using data collected from diabetic patients treated at the retina clinic at the Kellogg Eye Center. Logistic regression was used to identify demographic and medical factors associated with receiving at least 1 injection. Negative binomial regression was used to model the number of anti-VEGF injections. MAIN OUTCOME MEASURES: Receiving at least 1 anti-VEGF injection and the number of anti-VEGF injections received during the study period. RESULTS: Systolic blood pressure and a diagnosis of DR were associated significantly with receiving an injection. A history of kidney disease was associated positively with the number of injections received. Type 1 diabetes was associated negatively with receiving an injection and the number of injections. Current hemoglobin A1c level was not associated with either receiving an injection or the number of injections. CONCLUSIONS: Elevated blood pressure is associated significantly with the need for treatment with anti-VEGF injections in patients with diabetes, and a diagnosis of type 1 diabetes is associated negatively with both receiving treatment and the number of injections. Of note, current glycemic control is not associated significantly with either outcome measure. To our knowledge, these associations have not been previously reported, and imply that factors that confer risk for DR development may not be the same that confer risk for treatment.
